Cyberattack detection on SWaT plant industrial control systems using machine learning
Detecting cyberattacks is critical for maintaining the security and integrity of industrial control systems (ICSs). This study introduces a machine learning approach for identifying cyberattacks on the Secure Water Treatment (SWaT) plant testbed. The dataset, sourced from the Singapore University of...
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| Main Authors: | Shadi Jaradat, Md Mostafizur Komol, Mohammed Elhenawy, Naipeng Dong |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
ELS Publishing (ELSP)
2024-09-01
|
| Series: | Artificial Intelligence and Autonomous Systems |
| Subjects: | |
| Online Access: | https://elsp-homepage.oss-cn-hongkong.aliyuncs.compaper/journal/open/AIAS/2024/aias20240006.pdf |
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